{"id":"https://openalex.org/W7166702861","doi":"https://doi.org/10.48550/arxiv.2606.29049","title":"MOSAIC: Orchestrating Collaborative Knowledge Tracing with Hierarchical Semantic Alignment","display_name":"MOSAIC: Orchestrating Collaborative Knowledge Tracing with Hierarchical Semantic Alignment","publication_year":2026,"publication_date":"2026-06-27","ids":{"openalex":"https://openalex.org/W7166702861","doi":"https://doi.org/10.48550/arxiv.2606.29049"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.29049","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.29049","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.29049","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139443064","display_name":"Xinjin Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Xinjin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139650975","display_name":"Mengyue Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Mengyue","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139704371","display_name":"Yuzhen Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin, Yuzhen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139648670","display_name":"Pengbin Feng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feng, Pengbin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133753309","display_name":"Ziqi Sha","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sha, Ziqi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139403260","display_name":"Yeyang Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Yeyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5139633908","display_name":"Yu Ma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Yu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.6159999966621399,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.6159999966621399,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.22849999368190765,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.04010000079870224,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.679099977016449},{"id":"https://openalex.org/keywords/mosaic","display_name":"Mosaic","score":0.6626999974250793},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5740000009536743},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.539900004863739},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4390000104904175},{"id":"https://openalex.org/keywords/tracing","display_name":"Tracing","score":0.4325999915599823},{"id":"https://openalex.org/keywords/landmark","display_name":"Landmark","score":0.39969998598098755},{"id":"https://openalex.org/keywords/semantic-mapping","display_name":"Semantic mapping","score":0.32350000739097595}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8140000104904175},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.679099977016449},{"id":"https://openalex.org/C110739175","wikidata":"https://www.wikidata.org/wiki/Q133067","display_name":"Mosaic","level":2,"score":0.6626999974250793},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5740000009536743},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.539900004863739},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4805000126361847},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4390000104904175},{"id":"https://openalex.org/C138673069","wikidata":"https://www.wikidata.org/wiki/Q322229","display_name":"Tracing","level":2,"score":0.4325999915599823},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4106999933719635},{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.39969998598098755},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32760000228881836},{"id":"https://openalex.org/C2775955345","wikidata":"https://www.wikidata.org/wiki/Q7449071","display_name":"Semantic mapping","level":2,"score":0.32350000739097595},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3206999897956848},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.2987000048160553},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.29840001463890076},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2946000099182129},{"id":"https://openalex.org/C197914299","wikidata":"https://www.wikidata.org/wiki/Q18650","display_name":"Semantic memory","level":3,"score":0.2924000024795532},{"id":"https://openalex.org/C2776289891","wikidata":"https://www.wikidata.org/wiki/Q1931511","display_name":"Neglect","level":2,"score":0.2782999873161316},{"id":"https://openalex.org/C2778493491","wikidata":"https://www.wikidata.org/wiki/Q7449072","display_name":"Semantic matching","level":3,"score":0.2718000113964081},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2711000144481659},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.26660001277923584},{"id":"https://openalex.org/C511192102","wikidata":"https://www.wikidata.org/wiki/Q5156948","display_name":"Comprehension","level":2,"score":0.26489999890327454},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.26010000705718994}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.29049","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.29049","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.29049","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.29049","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.63860023021698,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Knowledge":[0],"Tracing":[1],"(KT)":[2],"is":[3],"important":[4],"for":[5,48],"personalized":[6],"education":[7],"but":[8],"traditionally":[9],"suffers":[10],"from":[11],"two":[12],"key":[13],"limitations:":[14],"a":[15,26,51,72,94,116],"reliance":[16],"on":[17,112,163],"shallow":[18],"ID-based":[19],"representations":[20],"that":[21,32,54,64,98,123],"neglect":[22],"semantic":[23,57],"depth":[24],"and":[25,80,88,106,115,139,158,170],"restriction":[27],"to":[28,75,137,144],"single-granularity":[29],"mastery":[30,101],"estimation":[31,102],"overlooks":[33],"hierarchical":[34,81],"knowledge":[35],"dependencies.":[36],"To":[37],"address":[38],"these":[39],"challenges,":[40],"we":[41,92],"propose":[42],"MOSAIC":[43,70,124,151],"(Multi-granularity":[44],"Online":[45],"Semantic":[46],"AI":[47],"Collaborative":[49],"Knowledge),":[50],"novel":[52],"framework":[53],"orchestrates":[55],"LLM-driven":[56],"alignment":[58],"with":[59],"sequential":[60],"modeling.":[61],"Unlike":[62],"methods":[63],"use":[65],"LLMs":[66],"solely":[67],"as":[68],"predictors,":[69],"leverages":[71],"frozen":[73],"LLM":[74],"generate":[76],"dynamic,":[77],"context-aware":[78],"embeddings":[79],"prediction":[82],"prompts,":[83],"explicitly":[84],"capturing":[85],"collaborative":[86],"signals":[87],"peer":[89],"interactions.":[90],"Furthermore,":[91],"introduce":[93],"cross-granularity":[95],"consistency":[96],"objective":[97],"jointly":[99],"regularizes":[100],"across":[103,147],"concept,":[104],"topic-cluster,":[105],"global":[107],"proficiency":[108],"levels.":[109],"Extensive":[110],"experiments":[111],"ASSISTments,":[113],"EdNet,":[114],"newly":[117],"collected":[118],"large-scale":[119],"MOOC":[120],"dataset":[121],"demonstrate":[122],"establishes":[125],"new":[126],"state-of-the-art":[127],"results.":[128],"Specifically,":[129],"our":[130],"method":[131],"achieves":[132],"AUC":[133],"improvements":[134],"of":[135,142],"up":[136,143],"3.4\\%":[138],"Accuracy":[140],"gains":[141],"2.5":[145],"\\%":[146],"all":[148],"benchmarks.":[149],"Notably,":[150],"exhibits":[152],"superior":[153],"robustness":[154],"in":[155],"collaboration-rich":[156],"environments":[157],"long-sequence":[159],"scenarios":[160],"(AUC":[161],"0.862":[162],"MOOC),":[164],"offering":[165],"both":[166],"high":[167],"predictive":[168],"precision":[169],"semantically":[171],"grounded":[172],"interpretability.":[173]},"counts_by_year":[],"updated_date":"2026-07-01T06:29:00.853634","created_date":"2026-07-01T00:00:00"}
